About Crossover Health
surround-sound—in-person,
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Own the QA strategy for data pipelines, ensuring accuracy, completeness, and reliability of healthcare and operational data.
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Maintain comprehensive documentation of data models, lineage, and critical fields in core tools like Snowflake, dbt, and Tableau.
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Map data lineage from source systems (e.g., EMR, eligibility, claims) through modeling and reporting, ensuring visibility across the entire data lifecycle.
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Design and implement data quality tests using dbt tests, Elementary, or similar QA tools.
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Expand automated data QA test coverage across systems with limited or no existing validation.
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Identify and validate data integrity issues across key sources such as claims, EMR, client files, and internal systems, assess impact, and coordinate resolution with cross-functional teams.
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Maintain an issue tracker and regularly report on open items and progress to stakeholders.
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Act as a liaison across Data Engineering, Data Science and Analytics, Product, Security, and Operations to support and advocate for data quality.
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Support root cause analysis by debugging test coverage or validation scripts .
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Partner with Data Engineering to recommend improvements to data models and pipelines based on QA findings.
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Support the onboarding of new data sources by defining QA and documentation requirements in partnership with data engineering.
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Performs other duties as assigned
Required Qualifications
- Bachelor’s degree in Computer Science, Information Systems, Data Science, or related field
- 4+ years of experience in a data quality, data engineering, analytics engineering, or data governance role
- Strong knowledge of QA methodologies and data testing frameworks (e.g., dbt tests, Elementary, Great Expectations)
- Proficiency in:SQL and dbt (including documentation, testing, and modeling)Python for scripting, QA automation, or monitoring workflowsData pipelines orchestration tools (e.g., Airflow, Fivetran)Snowflake
- SQL and dbt (including documentation, testing, and modeling)
- Python for scripting, QA automation, or monitoring workflows
- Data pipelines orchestration tools (e.g., Airflow, Fivetran)
- Snowflake
- Proficiency in writing clear, concise, and comprehensive test plans, test cases, and documentation
- Ability to identify and resolve data issues across complex systems with minimal supervision
- Excellent problem-solving skills and attention to detail.
- Strong communication and teamwork skills.
- Ability to work independently and manage multiple priorities in a fast-paced environment.
Preferred Qualifications
- Experience working with healthcare datasets
- Familiarity with Master Data Management tools, data mastering concepts, and data enrichment workflows
- Experience with core data governance concepts
- Understanding of data privacy, access controls, and compliance standards (e.g., HIPAA, PII/PHI)
- Familiarity with BI tools such as Tableau for reviewing and validating data outputs
To all recruitment agencies : We do not accept unsolicited agency resumes and are not responsible for any fees related to unsolicited resumes.